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Posted to issues@ambari.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/02/21 15:54:00 UTC
[jira] [Updated] (AMBARI-23043) 'Table or view not found error'
with livy/livy2 interpreter on upgraded cluster to Fenton-M30
[ https://issues.apache.org/jira/browse/AMBARI-23043?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated AMBARI-23043:
------------------------------------
Labels: pull-request-available (was: )
> 'Table or view not found error' with livy/livy2 interpreter on upgraded cluster to Fenton-M30
> ---------------------------------------------------------------------------------------------
>
> Key: AMBARI-23043
> URL: https://issues.apache.org/jira/browse/AMBARI-23043
> Project: Ambari
> Issue Type: Bug
> Components: ambari-server
> Reporter: Vitaly Brodetskyi
> Assignee: Vitaly Brodetskyi
> Priority: Critical
> Labels: pull-request-available
> Fix For: 2.6.2
>
>
> The test has been performed as below:
> CentOS6 + Ambari-2.5.1 + HDP-2.6.1 -> AU to Ambari-2.6.2 -> Full EU to HDP-2.6.5.0-74 (Fenton-M30) -> Run stack tests
> I see that with livy2 interpreter, anytime we register a temporary view or table - the corresponding query on that table will fail with 'Table or view not found error'
> {code:java}
> org.apache.spark.sql.AnalysisException: Table or view not found: word_counts; line 2 pos 24
> at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveRelations$$lookupTableFromCatalog(Analyzer.scala:649)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.resolveRelation(Analyzer.scala:601)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:631)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:624)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:62)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:62)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:61)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:59)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:59)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:624)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:570)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
> at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
> at scala.collection.immutable.List.foldLeft(List.scala:84)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
> at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:69)
> at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:67)
> at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:50)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:67)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:637)
> ... 50 elided
> {code}
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